Literature DB >> 2736491

Intratumoral histologic heterogeneity of gliomas. A quantitative study.

W Paulus1, J Peiffer.   

Abstract

Quantitative data for intratumoral histologic heterogeneity were obtained by investigating ten small and ten large punched samples from 50 unembedded supratentorial gliomas. The 1000 samples were diagnosed according to the World Health Organization (WHO) classification and six histopathologic features associated with malignancy were evaluated (cellular density, nuclear pleomorphism, necroses, histologic architecture, vessels, and mitoses), each with defined gradations. The slides were read independently by two observers. The initially high interobserver variability (grade, 22.2%; type, 10.3%; and tumor presence/absence, 7.1%) was for the most part due to intermediate grades and types and was reduced to 1.7% after mutual review. Small samples showed lower mean grade than large samples and more often absence of tumor (7.6% versus 2.4%). Of all gliomas, 48% showed differently typed samples, 82% differently graded samples, and 62% benign and malignant grades. Intratumoral heterogeneity was higher for the necroses than for the other histopathologic features. Our results underscore the importance of extensive tissue sampling.

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Year:  1989        PMID: 2736491     DOI: 10.1002/1097-0142(19890715)64:2<442::aid-cncr2820640217>3.0.co;2-s

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  49 in total

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Journal:  J Neurooncol       Date:  2000-05       Impact factor: 4.130

2.  Accuracy of stereotactic brain tumor biopsy: comparison of the histologic findings in biopsy cylinders and resected tumor tissue.

Authors:  W Feiden; U Steude; K Bise; O Gündisch
Journal:  Neurosurg Rev       Date:  1991       Impact factor: 3.042

3.  A probe for simultaneous sampling in stereotactic brain biopsy. Technical note.

Authors:  J A Lazareff
Journal:  Acta Neurochir (Wien)       Date:  1991       Impact factor: 2.216

4.  Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data.

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Review 5.  Toward an Ising model of cancer and beyond.

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6.  Development of a Reference Image Collection Library for Histopathology Image Processing, Analysis and Decision Support Systems Research.

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Review 7.  Fluorescence-guided surgery with aminolevulinic acid for low-grade gliomas.

Authors:  Benjamin K Hendricks; Nader Sanai; Walter Stummer
Journal:  J Neurooncol       Date:  2018-10-26       Impact factor: 4.130

8.  A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats.

Authors:  David A Hormuth; Jack T Skinner; Mark D Does; Thomas E Yankeelov
Journal:  Magn Reson Imaging       Date:  2014-01-07       Impact factor: 2.546

Review 9.  Incidental diffuse low-grade gliomas: from early detection to preventive neuro-oncological surgery.

Authors:  Guilherme Lucas de Oliveira Lima; Marc Zanello; Emmanuel Mandonnet; Luc Taillandier; Johan Pallud; Hugues Duffau
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10.  Tumorigenic, invasive, karyotypic, and immunocytochemical characteristics of clonal cell lines derived from a spontaneous canine anaplastic astrocytoma.

Authors:  M E Berens; G Bjotvedt; D C Levesque; M D Rief; J R Shapiro; S W Coons
Journal:  In Vitro Cell Dev Biol Anim       Date:  1993-04       Impact factor: 2.416

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